Sökning: "real-world data"
Visar resultat 1 - 5 av 564 avhandlingar innehållade orden real-world data.
1. Patient-reported and medical outcomes in patients treated for diabetic macular edema : A real-world longitudinal study
Sammanfattning : Background Diabetes mellitus can lead to complications, when the complication affects the eyes it is called retinopathy. This can affect the macula and lead to severe loss of vision, diabetic macular edema (DME). This condition has traditionally been treated with laser. LÄS MER
2. Somatic and occupational outcomes in adult ADHD : epidemiology studies based on real-world data
Sammanfattning : Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders, characterized by inattention or hyperactivity–impulsivity, or both. ADHD is a multifactorial disorder influenced by the complex interplay between genetic and environmental risk factors, but a detailed understanding of the causal status of these factors is lacking. LÄS MER
3. Bufferbloat and Beyond : Removing Performance Barriers in Real-World Networks
Sammanfattning : The topic of this thesis is the performance of computer networks. While network performance has generally improved with time, over the last several years we have seen examples of performance barriers limiting network performance. In this work we explore such performance barriers and look for solutions. LÄS MER
4. From data collection to electric grid performance : How can data analytics support asset management decisions for an efficient transition toward smart grids?
Sammanfattning : Physical asset management in the electric power sector encompasses the scheduling of the maintenance and replacement of grid components, as well as decisions about investments in new components. Data plays a crucial role in these decisions. LÄS MER
5. Safety-Aware Autonomous Systems : Preparing Robots for Life in the Real World
Sammanfattning : Real‐world autonomous systems are expected to be increasingly deployed and operating in real‐world environments over the coming decades. Autonomous systems such as AI‐enabled robotic systems and intelligent transportation systems, will alleviate mundane human work, provide new services, and facilitate a smarter and more flexible infrastructure. LÄS MER